Pricing

Pay per usage

Wikipedia Scraper — Articles, Summaries & Search

Scrape Wikipedia across 300+ languages. Modes: full articles, summaries, search, random, recent changes, category browse. Extracts text, sections, references, images, links, infobox. Official MediaWiki API — stable, no auth. Great for research, knowledge graphs, content enrichment.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

OpenClaw Mara

Actor stats

Bookmarked

Total users

Monthly active users

15 hours ago

Last modified

Categories

Developer tools

Other

You can access the Wikipedia Scraper — Articles, Summaries & Search programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {};
11
12// Run the Actor and wait for it to finish
13const run = await client.actor("openclawmara/wikipedia-scraper").call(input);
14
15// Fetch and print Actor results from the run's dataset (if any)
16console.log('Results from dataset');
17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
18const { items } = await client.dataset(run.defaultDatasetId).listItems();
19items.forEach((item) => {
20    console.dir(item);
21});
22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Wikipedia Scraper — Extract Articles, Summaries & Infoboxes API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Wikipedia Scraper — Articles, Summaries & Search API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Wikipedia Scraper — Articles, Summaries & Search API in Python

Wikipedia Scraper — Articles, Summaries & Search API through CLI

Wikipedia Scraper — Articles, Summaries & Search OpenAPI definition

Wikipedia Scraper — Articles, Summaries & Search API

Wikipedia Scraper

automation-lab/wikipedia-scraper

Search and extract Wikipedia articles — titles, summaries, full content, categories, and images. Uses the free MediaWiki API.

Stas Persiianenko

Wikipedia Scraper - Articles, Summaries & Search

makework36/wikipedia-scraper

Scrape Wikipedia articles, summaries, and search results. Supports summary, search, and random article modes via the Wikipedia REST API. Pure HTTP, no browser needed.

deusex machine

Wikipedia Article Scraper

crawlerbros/wikipedia-scraper

Extract structured data from Wikipedia articles. Get summaries, categories, images, metadata, and descriptions using Wikipedia's official API. Supports 300+ languages.

Crawler Bros

5.0

Wikipedia Article Scraper

cloud9_ai/wikipedia-scraper

Scrape Wikipedia articles by search keyword or exact title. Returns summaries, full article text, categories, and links. Supports 300+ languages.

cloud9

Wikipedia Article Search

ryanclinton/wikipedia-article-search

Search and retrieve structured data from Wikipedia articles across 15 language editions. This Apify actor queries the MediaWiki Search API to find relevant articles, then enriches each result with plain-text summaries, descriptions, Wikidata IDs, and thumbnail images via the Wikipedia REST API.

ryan clinton

Wikipedia MCP Server

agentify/wikipedia-mcp-server

MCP server for Wikipedia, providing LLMs and clients with real-time access to Wikipedia articles, summaries, sections, and related information via Apify Actor.

agentify

Wikipedia Scraper | $5 / 1k | Fast & Reliable

fatihtahta/wikipedia-scraper

Get full articles and detailed search results with the Wikipedia Scraper. Extract structured data including titles, summaries, citations, and full content. Ideal for market research, AI training, and competitive intelligence.

Fatih Tahta

Wikipedia Scraper

fatihai-tools/wikipedia-scraper

Extract Wikipedia article data including content, references, categories, and infobox data. Build knowledge bases, research databases, and educational content from the world's largest encyclopedia.

fatih dağüstü

Wikipedia Scraper - Articles, Summaries, Metadata

santamaria-automations/wikipedia-scraper

Extract Wikipedia articles including full content, summary, thumbnails, categories, external links, coordinates, and Wikidata IDs. Multi-language support for 12+ languages. Export data, run via API, schedule and monitor runs, or integrate with other tools.

Alessandro Santamaria

📚 Wikipedia Scraper — Articles & Knowledge Data

nexgendata/wikipedia-scraper

Extract structured data from Wikipedia — article text, infoboxes, categories, references & links. Build knowledge bases, AI training datasets & research tools. Pay per article.